Intellectual Property India Publishes Patent Application for 'Smart Streetlight Network With Targeted Rf Wake Receiver, On-Demand Sensor Bursts, And Multi-Hop Mesh Backhaul For Ultra-Low-Power Smart City Deployments' Filed by S R University

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049363 A) filed by S R University, Warangal, Telangana, on April 17, for 'smart streetlight network with targeted rf wake receiver, on-demand sensor bursts, and multi-hop mesh backhaul for ultra-low-power smart city deployments.'

Inventor(s) include Dr. Susamay Samanta; and Dr. P Soni Reddy.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "Smart Streetlight Network with Targeted RF Wake Receiver, On-Demand Sensor Bursts, and Multi-Hop Mesh Backhaul for Ultra-Low-Power Smart City Deployments ABSTRACT The invention pertains to a smart streetlight network designed for ultra-low-power operation in smart cities. Each streetlight node remains in a deep sleep mode and is activated only by a targeted RF wake signal. Upon activation, the node performs on-demand sensing, collects a short burst of data, and transmits this data over a multi-hop mesh network to a gateway. The gateway then bridges this data to cloud platforms or municipal services, ensuring real-time or stored access to urban infrastructure data. The key innovation is the integration of an RF wake receiver, which minimizes idle power consumption by preventing continuous listening and reducing maintenance needs. This system supports environmental, traffic, and noise monitoring, and other municipal telemetry applications. An energy manager optimizes the node's power consumption, while an optional AI-assisted module at the edge or cloud helps prioritize wake events and optimize data collection and transmission. The mesh network further enhances the system's scalability, allowing broad coverage in dense urban deployments. This invention addresses the challenges of maintaining low power, efficient sensing, and reliable communication in large-scale, long-term smart city infrastructure projects. The approach enhances operational efficiency, reduces environmental impact, and ensures seamless data flow across city-wide networks."

Disclaimer: Curated by HT Syndication.